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Would expect these simulations to be identical, but they're not!
```python
s = ss.Sim(pars=dict(diseases='sir', networks='embedding'))
s.initialize()
s2 = sc.dcp(s)
s.run()
s2.run()
s.plot()
s…
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```py
import starsim as ss
sim = ss.Sim(pars=dict(diseases='sir', networks='random'))
sim.run()
print(sim.summarize())
```
I'd expect to give me some pretty simple output. Where are the floats…
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### Background
Gene regulatory networks (GRNs), which delineate the interactions between transcription factors (TFs) and their target genes, represent the mechanisms governing cell differentiation an…
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There are plenty of problems that can be solved with neural networks. This is a request to add more source code examples.
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```
s1 = ss.Sim(n_agents=2e3, pars=dict(networks='randomnet', diseases='sir'))
s2 = ss.Sim(n_agents=2e3, pars=dict(networks='randomnet', diseases='sir'))
s1.run()
s2.run()
s2.summarize()
s1.summ…
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On `main`, this test script is comparably fast with and without multi-RNG (except for the first run when it recompiles the `numba` functions):
```py
import starsim as ss
import sciris as sc
import…
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Hi, When I used the IXI dataset ,your model works well, However when I applied your work on WMH(https://wmh.isi.uu.nl/), I met some issues. Some lession part appeared and disappeared randomly. please …
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Currently doing this via visNetwork networks, but this gets messy when you try to scale it up to all phenotypes.
Instead, might try to summarise this with a circos plot, where line thickness is the…
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Users shouldn't be able to substitute a Gaussian in place of a Bernoulli, etc. Need sufficient compatibility checking.